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Top 10 Python autonomous-driving Projects
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I usually start here: https://github.com/AtsushiSakai/PythonRobotics , but I'm not sure how much is extended to 3D off the top of my head.
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PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Project mention: [Medical Segmentation] The all-in-one 3D medical image segmentation toolkit. From data annotation to model deployment, you are welcome to try it all! | reddit.com/r/ArtificialInteligence | 2022-12-19EISeg-Med3D: https://github.com/PaddlePaddle/PaddleSeg/blob/develop/EISeg/med3d/README_en.md
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Sonar
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Project mention: RecurrentPPO (SB3-contrib) learning for autonomous driving | reddit.com/r/reinforcementlearning | 2022-07-07
Hi everyone! I'm a complete newbie to DRL, so please forgive my lack of understanding of some things on here. I'm training a recPPO from SB3-contrib on E.Leurent's Highway env [https://github.com/eleurent/highway-env] (I customized the action to be more high-level). During training I get the desired behavioural outcome from the agent but I noticed that some training metrics of the model seem quite off respect to the trend found online (especially the explained variance). I just wanted an opinion from some more navigated fellas in here! Can I somehow fix this trend by hyperparameter tuning or do I have e.g. to modify the reward function somehow? How can I improve the training? For any details I'm always available. I share the tensorboard plots obtained for RecPPO.
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Project mention: Lane Assist system I've been working on over the past few days. | reddit.com/r/trucksim | 2022-04-23
The way this works is that great minds made a paper about lane detection.
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InterFuser
[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
Project mention: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer | reddit.com/r/SelfDrivingCars | 2022-08-17For more information, you can refer to InterFuser GitHub.
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Project mention: [Self Promote] New paper on autonomous driving and multi-task: "HybridNets: End-to-End Perception Network" | reddit.com/r/Automate | 2022-03-18
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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neat
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving (by autonomousvision)
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Automatic-Parking
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
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Python autonomous-driving related posts
- Ask HN: What will be the first AI “incident”?
- What good Autonomous Driving simulators for research?
- Are there ways to contribute to openpilot, other than chffr or commacoloring, that are now discontinued ?
- RecurrentPPO (SB3-contrib) learning for autonomous driving
- Neat: Neural Attention Fields for End-to-End Autonomous Driving
- What is the best source to learn how to build a self-driving car from scratch?
- Made a selfDrivingCar recently.
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A note from our sponsor - Sonar
www.sonarsource.com | 29 Jan 2023
Index
What are some of the best open-source autonomous-driving projects in Python? This list will help you:
Project | Stars | |
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1 | PythonRobotics | 17,339 |
2 | PaddleSeg | 6,288 |
3 | highway-env | 1,634 |
4 | Ultra-Fast-Lane-Detection | 1,409 |
5 | YOLOP | 1,397 |
6 | InterFuser | 396 |
7 | HybridNets | 376 |
8 | neat | 255 |
9 | Automatic-Parking | 133 |
10 | bark-ml | 72 |